PYTHON

pandas combine year month day column to date

1
2
cols=["year","month","day"]
df['date'] = df[cols].apply(lambda x: '-'.join(x.values.astype(str)), axis="columns")

pandas combine year month day column to date

1
2
cols=["year","month","day"]
df['date'] = df[cols].apply(lambda x: '-'.join(x.values.astype(str)), axis="columns")

pandas combine year month day column to date

1
2
cols=["year","month","day"]
df['date'] = df[cols].apply(lambda x: '-'.join(x.values.astype(str)), axis="columns")

pandas combine year month day column to date

1
2
cols=["year","month","day"]
df['date'] = df[cols].apply(lambda x: '-'.join(x.values.astype(str)), axis="columns")

pandas combine year month day column to date

1
2
cols=["year","month","day"]
df['date'] = df[cols].apply(lambda x: '-'.join(x.values.astype(str)), axis="columns")

pandas combine year month day column to date

1
2
cols=["year","month","day"]
df['date'] = df[cols].apply(lambda x: '-'.join(x.values.astype(str)), axis="columns")

pandas combine year month day column to date

1
2
cols=["year","month","day"]
df['date'] = df[cols].apply(lambda x: '-'.join(x.values.astype(str)), axis="columns")

pandas combine year month day column to date

1
2
cols=["year","month","day"]
df['date'] = df[cols].apply(lambda x: '-'.join(x.values.astype(str)), axis="columns")

pandas combine year month day column to date

1
2
cols=["year","month","day"]
df['date'] = df[cols].apply(lambda x: '-'.join(x.values.astype(str)), axis="columns")